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Nansen Holder Analysis

OrganizationPopular
internet-court
nansen-holder-analysis

Is this token held by quality wallets or retail noise? SM holder ratio, flow breakdown by label, and recent buyer quality.

Overview

Publisherinternet-court
Repositoryinternet-court-skill
Skill namenansen-holder-analysis
Stars
5.8K
Forks
106
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by internet-court on GitHub. Read the source before you install it.

Installation

Install the Nansen Holder Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/internet-court/internet-court-skill.git /tmp/internet-court-skill
mkdir -p .claude/skills
cp -r /tmp/internet-court-skill/vendored/nansen/nansen-holder-analysis .claude/skills/nansen-holder-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nansen Holder Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nansen Holder Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nansen Holder Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Holder Quality

Answers: "Is this token held by quality wallets or retail noise?"

bash
TOKEN=<address> CHAIN=ethereum

nansen research token holders --token $TOKEN --chain $CHAIN --smart-money --limit 20
# → address, address_label, value_usd, ownership_percentage, balance_change_24h/7d/30d

nansen research token flow-intelligence --token $TOKEN --chain $CHAIN
# → net_flow_usd and wallet_count per label: smart_trader, whale, exchange, fresh_wallets

nansen research token who-bought-sold --token $TOKEN --chain $CHAIN --limit 20
# → address, address_label, bought/sold_volume_usd, bought/sold_token_volume, trade_volume_usd

Red flag: high fresh_wallets flow + low SM holders. Green flag: Fund/Smart Trader labels in top 20.

Note: holders endpoint does not support native/wrapped tokens. Use a specific token contract address.

Frequently asked questions

What does the Nansen Holder Analysis AI skill do?

Is this token held by quality wallets or retail noise? SM holder ratio, flow breakdown by label, and recent buyer quality.

Why use Nansen Holder Analysis on TypingMind?

Because you install it once and use it with any model. Nansen Holder Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nansen Holder Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/internet-court/internet-court-skill/tree/main/vendored/nansen/nansen-holder-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nansen Holder Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nansen Holder Analysis?

As many as you like. As long as a model supports skills, you can use Nansen Holder Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nansen Holder Analysis AI skill free?

It is published on GitHub by internet-court. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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